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KeyRe-ID: Keypoint-Guided Person Re-Identification using Part-Aware Representation in Videos

arXiv 2507.07393 ↗First posted 10 Jul 2025cs.CV cs.AIcited by 0

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Abstract (arXiv)

We propose KeyRe-ID, a keypoint-guided video-based person re-identification framework consisting of global and local branches that leverage human keypoints for enhanced spatiotemporal representation learning. The global branch captures holistic identity semantics through Transformer-based temporal aggregation, while the local branch dynamically segments body regions based on keypoints to generate fine-grained, part-aware features. Extensive experiments on MARS and iLIDS-VID benchmarks demonstrate state-of-the-art performance, achieving 91.73% mAP and 97.32% Rank-1 accuracy on MARS, and 96.00% Rank-1 and 100.0% Rank-5 accuracy on iLIDS-VID. The code for this work will be publicly available on GitHub upon publication.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 18 of its 35 references that are in the map. First posted on arXiv 10 Jul 2025.

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References · 18

  1. 2015Rethinking the Inception Architecture for Computer Visioncited by 5,475
  2. 2017ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devicescited by 1,200
  3. 2021TransReID: Transformer-based Object Re-Identificationcited by 435
  4. 2019PifPaf: Composite Fields for Human Pose Estimationcited by 120
  5. 2018Human Semantic Parsing for Person Re-identificationcited by 100
  6. 2021Pose-guided Feature Disentangling for Occluded Person Re-identification Based on Transformercited by 68
  7. 2021Learning Multi-Granular Hypergraphs for Video-Based Person Re-Identificationcited by 63
  8. 2018Unsupervised Person Re-identification by Deep Learning Tracklet Associationcited by 45
  9. 2020Multi-Granularity Reference-Aided Attentive Feature Aggregation for Video-based Person Re-identificationcited by 42
  10. 2021Spatial-Temporal Correlation and Topology Learning for Person Re-Identification in Videoscited by 27
  11. 2022Multi-direction and Multi-scale Pyramid in Transformer for Video-based Pedestrian Retrievalcited by 17
  12. 2024Cross-Platform Video Person ReID: A New Benchmark Dataset and Adaptation Approachcited by 17
6 more
  1. 2021Spatiotemporal Transformer for Video-based Person Re-identificationcited by 15
  2. 2019Video Person Re-ID: Fantastic Techniques and Where to Find Themcited by 13
  3. 2023Occluded Person Re-Identification with Deep Learning: A Survey and Perspectivescited by 13
  4. 2019Global-Local Temporal Representations For Video Person Re-Identificationcited by 12
  5. 2019Rethinking Temporal Fusion for Video-based Person Re-identification on Semantic and Time Aspectcited by 8
  6. 2018A Spatial and Temporal Features Mixture Model with Body Parts for Video-based Person Re-Identificationcited by 1

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